Implement the pipeline layer that orchestrates discovery, parsing,
caching, and aggregation:
- pipeline/loader.go: Load() discovers session files via ScanDir,
optionally filters out subagent files, then parses all files in
parallel using a bounded worker pool sized to GOMAXPROCS. Workers
read from a pre-filled channel (no contention on dispatch) and
report progress via an atomic counter and callback. LoadResult
tracks total files, parsed files, parse errors, and file errors.
- pipeline/aggregator.go: Five aggregation functions, all operating
on time-filtered session slices:
* Aggregate: computes SummaryStats across all sessions — total
tokens (5 types), estimated cost, cache savings (summed per-model
via config.CalculateCacheSavings), cache hit rate, and per-active-
day rates (cost, tokens, sessions, prompts, minutes).
* AggregateDays: groups sessions by local calendar date, sorted
most-recent-first.
* AggregateModels: groups by normalized model name with share
percentages, sorted by cost descending.
* AggregateProjects: groups by project name, sorted by cost.
* AggregateHourly: distributes prompt/session/token counts across
24 hour buckets (attributed to session start hour).
Also provides FilterByTime, FilterByProject, FilterByModel with
case-insensitive substring matching.
- pipeline/incremental.go: LoadWithCache() implements the incremental
loading strategy — compares discovered files against the cache's
file_tracker (mtime_ns + size), loads unchanged sessions from
SQLite, and only reparses files that changed. Reparsed results
are immediately saved back to cache. CacheDir/CachePath follow
XDG_CACHE_HOME convention (~/.cache/cburn/metrics.db).
- pipeline/bench_test.go: Benchmarks for ScanDir, ParseFile (worst-
case largest file), full Load, and LoadWithCache to measure the
incremental cache speedup.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
118 lines
2.4 KiB
Go
118 lines
2.4 KiB
Go
package pipeline
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import (
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"fmt"
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"runtime"
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"sync"
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"sync/atomic"
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"cburn/internal/model"
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"cburn/internal/source"
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)
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// LoadResult holds the output of the full data loading pipeline.
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type LoadResult struct {
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Sessions []model.SessionStats
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TotalFiles int
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ParsedFiles int
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ParseErrors int
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FileErrors int
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ProjectCount int
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}
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// ProgressFunc is called during loading to report progress.
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// current is the number of files processed so far, total is the total count.
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type ProgressFunc func(current, total int)
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// Load discovers and parses all session files from the Claude data directory.
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// It uses a bounded worker pool for parallel parsing.
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func Load(claudeDir string, includeSubagents bool, progressFn ProgressFunc) (*LoadResult, error) {
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// Discover files
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files, err := source.ScanDir(claudeDir)
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if err != nil {
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return nil, fmt.Errorf("scanning %s: %w", claudeDir, err)
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}
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if len(files) == 0 {
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return &LoadResult{}, nil
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}
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// Filter subagents if requested
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var toProcess []source.DiscoveredFile
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if includeSubagents {
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toProcess = files
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} else {
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for _, f := range files {
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if !f.IsSubagent {
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toProcess = append(toProcess, f)
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}
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}
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}
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result := &LoadResult{
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TotalFiles: len(toProcess),
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ProjectCount: source.CountProjects(files),
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}
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if len(toProcess) == 0 {
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return result, nil
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}
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// Parallel parsing with bounded worker pool
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numWorkers := runtime.GOMAXPROCS(0)
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if numWorkers < 1 {
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numWorkers = 4
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}
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if numWorkers > len(toProcess) {
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numWorkers = len(toProcess)
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}
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type indexedResult struct {
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idx int
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result source.ParseResult
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}
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work := make(chan int, len(toProcess))
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results := make([]source.ParseResult, len(toProcess))
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var wg sync.WaitGroup
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var processed atomic.Int64
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// Feed work
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for i := range toProcess {
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work <- i
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}
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close(work)
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// Spawn workers
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wg.Add(numWorkers)
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for w := 0; w < numWorkers; w++ {
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go func() {
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defer wg.Done()
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for idx := range work {
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results[idx] = source.ParseFile(toProcess[idx])
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n := processed.Add(1)
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if progressFn != nil {
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progressFn(int(n), len(toProcess))
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}
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}
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}()
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}
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wg.Wait()
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// Collect results
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for _, pr := range results {
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if pr.Err != nil {
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result.FileErrors++
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continue
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}
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result.ParsedFiles++
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result.ParseErrors += pr.ParseErrors
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if pr.Stats.APICalls > 0 || pr.Stats.UserMessages > 0 {
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result.Sessions = append(result.Sessions, pr.Stats)
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}
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}
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return result, nil
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}
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